Li Z, Rao D C
Department of Radiology, Washington University School of Medicine, St. Louis, Missouri, USA.
Genet Epidemiol. 1996;13(4):377-83. doi: 10.1002/(SICI)1098-2272(1996)13:4<377::AID-GEPI6>3.0.CO;2-1.
The growing interest in detection of genetic effects for complex traits along with molecular revolution has stimulated many linkage studies. Multiple replication studies tend to produce different results. In such situations, rigorous meta-analysis methods can be useful for assessing the overall evidence for linkage. We propose here a random effects model for combining results from independent quantitative sibpair linkage studies. The model can be used to assess the aggregate evidence for linkage by combing the regression coefficients to the Haseman and Elston [(1972) Behav Genet 2:3-19] sibpair method as well as to assess heterogeneity among the multiple studies.
随着分子革命的发展，人们对复杂性状的遗传效应检测越来越感兴趣，这激发了许多连锁研究。多个重复研究往往会产生不同的结果。在这种情况下，严格的荟萃分析方法对于评估连锁的总体证据可能会很有用。我们在此提出一种随机效应模型，用于合并来自独立定量同胞对连锁研究的结果。该模型可用于通过将回归系数与Haseman和Elston [(1972) Behav Genet 2:3 - 19]同胞对方法相结合来评估连锁的总体证据，以及评估多个研究之间的异质性。
